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Contribution to Book
Interpreting the parameters of a multidimensional Rasch model
Objective measurement : theory into practice (2000)
  • W Wang
  • M Wilson
  • Ray J Adams, ACER

This chapter introduces the multidimensional random coefficient multinomial logit model (MRCML) which can be applied to multidimensional polytomous test items. Two examples of real data analyses are followed to demonstrates the applications of the MRCML. A detailed discussion is made of interpretation of item parameters, in comparision to those derived from their corresponding unidimensional Rasch measurement models. Finally, it provides some guidelines for constructing scoring matrices and the corresponding models to aid parameter interpretation.

  • Models,
  • Multidimensional scaling,
  • Test items,
  • Test theory,
  • Item response theory,
  • Grading,
  • Rasch model
Publication Date
M. Wilson and G. Engelhard
Ablex Publishing
Citation Information
W Wang, M Wilson and Ray J Adams. "Interpreting the parameters of a multidimensional Rasch model" Stamford, ConnObjective measurement : theory into practice Vol. 5 (2000)
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